- Master's or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. A track record of academic excellence
- At least three years of professional experience performing analytic work in Financial Services, Technology, or related industries. Experience applying advanced analytics to planning and infrastructure problems is preferred.
- Multiple examples of demonstrated success in client-facing roles over a period of at least three (3) years
- Ability to travel 10-20%
- Strong analytical, critical thinking, and creative problem-solving skills
- Advanced programming skills; mastery of a statistical language such as R or SAS; experience using other programming and data manipulation languages (SQL, Hive, Pig, Python, C/C++, Java); proficiency with Microsoft Office tools
- Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment
- Strong project management skills with the ability to manage multiple assignments effectively
- An deep understanding of current industry challenges and trends at the level needed to proactively identify customers- analytical needs and related business opportunities
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